parexp {lmomco} | R Documentation

## Estimate the Parameters of the Exponential Distribution

### Description

This function estimates the parameters of the Exponential distribution given the L-moments of the data in an L-moment object such as that returned by `lmom.ub`. The relation between distribution parameters and L-moments is seen under `lmomexp`.

### Usage

    parexp(lmom,checklmom=TRUE)

### Arguments

`lmom` | A L-moment object created by `lmom.ub` or `pwm2lmom`.
`checklmom` | Should the `lmom` be checked for validity using the `are.lmom.valid` function. Normally this should be left as the default and it is very unlikely that the L-moments will not be viable (particularly in the tau_4 and tau_3 inequality). However, for some circumstances or large simulation exercises then one might want to bypass this check.

### Value

An R `list` is returned.

`type` | The type of distribution: `exp`.
`para` | The parameters of the distribution.
`source` | The source of the parameters: “parexp”.

### Author(s)

W.H. Asquith

### References

Hosking, J.R.M., 1990, L-moments—Analysis and estimation of distributions using linear combinations of order statistics: Journal of the Royal Statistical Society, Series B, vol. 52, p. 105–124.

Hosking, J.R.M., 1996, FORTRAN routines for use with the method of L-moments: Version 3, IBM Research Report RC20525, T.J. Watson Research Center, Yorktown Heights, New York.

Hosking, J.R.M. and Wallis, J.R., 1997, Regional frequency analysis—An approach based on L-moments: Cambridge University Press.

### See Also

`lmom.ub`, `lmomexp`, `cdfexp`, `quaexp`

### Examples

    lmr <- lmom.ub(rnorm(20))
    parexp(lmr)

[Package lmomco version 0.92 Index]